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ORCIDHui Jiang 0001
Person information
- affiliation: York University, Department of Electrical Engineering and Computer Science, Toronto, ON, Canada
Other persons with the same name
- Hui Jiang (aka: Jiang Hui) — disambiguation page
- Hui Jiang 0002
![[0000-0003-2718-9811]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2718-9811")
— University of Michigan, Department of Biostatistics, Ann Arbor, MI, USA - Hui Jiang 0003 — Renmin University of China, School of Statistics, Beijing, China (and 2 more)
- Hui Jiang 0004 — Hewlett-Packard
- Hui Jiang 0005 — Xi'an University of Posts & Telecommunications, China
- Hui Jiang 0006 — Shenzhen University, Department of Mechatronics and Control Engineering, China (and 2 more)
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2020 – today
- 2020
[c82]Feng Wei, Uyen Trang Nguyen, Hui Jiang:
FoNet: A Memory-efficient Fourier-based Orthogonal Network for Object Recognition. CVPR Workshops 2020: 2944-2952
2010 – 2019
- 2019
- [c81]Feng Wei, Uyen Trang Nguyen, Hui Jiang:
Dual-FOFE-net Neural Models for Entity Linking with PageRank. ICANN (Workshop) 2019: 635-645 - [c80]Kelvin Jiang, Dekun Wu, Hui Jiang:
FreebaseQA: A New Factoid QA Data Set Matching Trivia-Style Question-Answer Pairs with Freebase. NAACL-HLT (1) 2019: 318-323 - [c79]Kevin Joseph, Hui Jiang:
Content based News Recommendation via Shortest Entity Distance over Knowledge Graphs. WWW (Companion Volume) 2019: 690-699 - [i25]Xi Zhu, Mingbin Xu, Hui Jiang:
Fixed-Size Ordinally Forgetting Encoding Based Word Sense Disambiguation. CoRR abs/1902.10246 (2019) - [i24]Dekun Wu, Nana Nosirova, Hui Jiang, Mingbin Xu:
A General FOFE-net Framework for Simple and Effective Question Answering over Knowledge Bases. CoRR abs/1903.12356 (2019) - [i23]Nargiza Nosirova, Mingbin Xu, Hui Jiang:
A Multi-task Learning Approach for Named Entity Recognition using Local Detection. CoRR abs/1904.03300 (2019) - [i22]Nargiza Nosirova, Mingbin Xu, Hui Jiang:
Effective Context and Fragment Feature Usage for Named Entity Recognition. CoRR abs/1904.03305 (2019) - [i21]Yuping Lin, Kasra Ahmadi K. A., Hui Jiang:
Bandlimiting Neural Networks Against Adversarial Attacks. CoRR abs/1905.12797 (2019) - [i20]Kevin Joseph, Hui Jiang:
Content based News Recommendation via Shortest Entity Distance over Knowledge Graphs. CoRR abs/1905.13132 (2019) - [i19]Feng Wei, Uyen Trang Nguyen, Hui Jiang:
Dual-FOFE-net Neural Models for Entity Linking with PageRank. CoRR abs/1907.12697 (2019) - 2018
- [c78]Sedtawut Watcharawittayakul, Mingbin Xu, Hui Jiang:
Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) for Competitive Neural Language Models. EMNLP 2018: 4725-4730 - [c77]Amin Omidvar, Hui Jiang, Aijun An:
Using Neural Network for Identifying Clickbaits in Online News Media. SIMBig 2018: 220-232 - [i18]Amin Omidvar, Hui Jiang, Aijun An:
Using Neural Network for Identifying Clickbaits in Online News Media. CoRR abs/1806.07713 (2018) - 2017
- [j29]Shiliang Zhang, Cong Liu, Hui Jiang, Si Wei, Li-Rong Dai, Yu Hu:
Nonrecurrent Neural Structure for Long-Term Dependence. IEEE ACM Trans. Audio Speech Lang. Process. 25(4): 871-884 (2017) - [c76]Quan Liu, Hui Jiang, Zhen-Hua Ling, Xiaodan Zhu, Si Wei, Yu Hu:
Combing Context and Commonsense Knowledge Through Neural Networks for Solving Winograd Schema Problems. AAAI Spring Symposia 2017 - [c75]Mingbin Xu, Hui Jiang, Sedtawut Watcharawittayakul:
A Local Detection Approach for Named Entity Recognition and Mention Detection. ACL (1) 2017: 1237-1247 - [c74]Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, Diana Inkpen:
Enhanced LSTM for Natural Language Inference. ACL (1) 2017: 1657-1668 - [c73]Junfeng Hou, Shiliang Zhang, Li-Rong Dai, Hui Jiang:
Feedforward sequential memory networks based encoder-decoder model for machine translation. APSIPA 2017: 622-625 - [c72]Joseph Sanu, Mingbin Xu, Hui Jiang, Quan Liu:
Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding. EMNLP 2017: 310-315 - [c71]Quan Liu, Hui Jiang, Andrew Evdokimov, Zhen-Hua Ling, Xiaodan Zhu, Si Wei, Yu Hu:
Cause-Effect Knowledge Acquisition and Neural Association Model for Solving A Set of Winograd Schema Problems. IJCAI 2017: 2344-2350 - [c70]Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, Diana Inkpen:
Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference. RepEval@EMNLP 2017: 36-40 - [i17]Mingbin Xu, Nargiza Nosirova, Kelvin Jiang, Feng Wei, Hui Jiang:
FOFE-based Deep Neural Networks for Entity Discovery and Linking. TAC 2017 - [i16]Junbei Zhang, Xiao-Dan Zhu, Qian Chen, Li-Rong Dai, Si Wei, Hui Jiang:
Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering. CoRR abs/1703.04617 (2017) - [i15]Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, Diana Inkpen:
Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference. CoRR abs/1708.01353 (2017) - 2016
- [j28]Shiliang Zhang, Hui Jiang, Li-Rong Dai:
Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Learn Neural Networks. J. Mach. Learn. Res. 17: 37:1-37:33 (2016) - [j27]Shaofei Xue, Hui Jiang, Li-Rong Dai, Qingfeng Liu:
Speaker Adaptation of Hybrid NN/HMM Model for Speech Recognition Based on Singular Value Decomposition. J. Signal Process. Syst. 82(2): 175-185 (2016) - [c69]Qian Chen, Xiao-Dan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang:
Distraction-Based Neural Networks for Modeling Document. IJCAI 2016: 2754-2760 - [c68]Shiliang Zhang, Hui Jiang, Shifu Xiong, Si Wei, Li-Rong Dai:
Compact Feedforward Sequential Memory Networks for Large Vocabulary Continuous Speech Recognition. INTERSPEECH 2016: 3389-3393 - [c67]Quan Liu, Wu Guo, Zhen-Hua Ling, Hui Jiang, Yu Hu:
Intra-Topic Variability Normalization based on Linear Projection for Topic Classification. HLT-NAACL 2016: 441-446 - [i14]Dan Liu, Wei Lin, Si Wei, Shiliang Zhang, Hui Jiang:
The USTC NELSLIP Systems for Trilingual Entity Detection and Linking Tasks at TAC KBP 2016. TAC 2016 - [i13]Mingbin Xu, Feng Wei, Sedtawut Watcharawittayakul, Yuchen Kang, Hui Jiang:
The YorkNRM Systems for Trilingual EDL Tasks at TAC KBP 2016. TAC 2016 - [i12]Quan Liu, Zhen-Hua Ling, Hui Jiang, Yu Hu:
Part-of-Speech Relevance Weights for Learning Word Embeddings. CoRR abs/1603.07695 (2016) - [i11]Quan Liu, Hui Jiang, Zhen-Hua Ling, Si Wei, Yu Hu:
Probabilistic Reasoning via Deep Learning: Neural Association Models. CoRR abs/1603.07704 (2016) - [i10]Rohollah Soltani, Hui Jiang:
Higher Order Recurrent Neural Networks. CoRR abs/1605.00064 (2016) - [i9]Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang:
Enhancing and Combining Sequential and Tree LSTM for Natural Language Inference. CoRR abs/1609.06038 (2016) - [i8]Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang:
Distraction-Based Neural Networks for Document Summarization. CoRR abs/1610.08462 (2016) - [i7]Mingbin Xu, Hui Jiang:
A FOFE-based Local Detection Approach for Named Entity Recognition and Mention Detection. CoRR abs/1611.00801 (2016) - [i6]Dan Liu, Wei Lin, Shiliang Zhang, Si Wei, Hui Jiang:
Neural Networks Models for Entity Discovery and Linking. CoRR abs/1611.03558 (2016) - [i5]Quan Liu, Hui Jiang, Zhen-Hua Ling, Xiaodan Zhu, Si Wei, Yu Hu:
Combing Context and Commonsense Knowledge Through Neural Networks for Solving Winograd Schema Problems. CoRR abs/1611.04146 (2016) - 2015
- [j26]Hui Jiang, Zhen-Yu Pan, Pingzhao Hu:
Discriminative learning of generative models: large margin multinomial mixture models for document classification. Pattern Anal. Appl. 18(3): 535-551 (2015) - [j25]Pan Zhou, Hui Jiang, Li-Rong Dai, Yu Hu, Qingfeng Liu:
State-Clustering Based Multiple Deep Neural Networks Modeling Approach for Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 23(4): 631-642 (2015) - [c66]Zhigang Chen, Wei Lin, Qian Chen, Xiaoping Chen, Si Wei, Hui Jiang, Xiaodan Zhu:
Revisiting Word Embedding for Contrasting Meaning. ACL (1) 2015: 106-115 - [c65]Shiliang Zhang, Hui Jiang, Mingbin Xu, Junfeng Hou, Li-Rong Dai:
The Fixed-Size Ordinally-Forgetting Encoding Method for Neural Network Language Models. ACL (2) 2015: 495-500 - [c64]Quan Liu, Hui Jiang, Si Wei, Zhen-Hua Ling, Yu Hu:
Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints. ACL (1) 2015: 1501-1511 - [c63]Shaofei Xue, Hui Jiang, Li-Rong Dai, Qingfeng Liu:
Unsupervised speaker adaptation of deep neural network based on the combination of speaker codes and singular value decomposition for speech recognition. ICASSP 2015: 4555-4559 - [c62]Shiliang Zhang, Hui Jiang, Si Wei, Li-Rong Dai:
Rectified linear neural networks with tied-scalar regularization for LVCSR. INTERSPEECH 2015: 2635-2639 - [i4]Shiliang Zhang, Hui Jiang:
Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Probe and Learn Neural Networks. CoRR abs/1502.00702 (2015) - [i3]Shiliang Zhang, Hui Jiang, Mingbin Xu, Junfeng Hou, Li-Rong Dai:
A Fixed-Size Encoding Method for Variable-Length Sequences with its Application to Neural Network Language Models. CoRR abs/1505.01504 (2015) - [i2]Shiliang Zhang, Hui Jiang, Si Wei, Li-Rong Dai:
Feedforward Sequential Memory Neural Networks without Recurrent Feedback. CoRR abs/1510.02693 (2015) - [i1]Shiliang Zhang, Cong Liu, Hui Jiang, Si Wei, Li-Rong Dai, Yu Hu:
Feedforward Sequential Memory Networks: A New Structure to Learn Long-term Dependency. CoRR abs/1512.08301 (2015) - 2014
- [j24]Ossama Abdel-Hamid, Abdel-rahman Mohamed, Hui Jiang, Li Deng, Gerald Penn, Dong Yu:
Convolutional Neural Networks for Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 22(10): 1533-1545 (2014) - [j23]Shaofei Xue, Ossama Abdel-Hamid, Hui Jiang, Li-Rong Dai, Qingfeng Liu:
Fast adaptation of deep neural network based on discriminant codes for speech recognition. IEEE ACM Trans. Audio Speech Lang. Process. 22(12): 1713-1725 (2014) - [c61]Pan Zhou, Li-Rong Dai, Hui Jiang:
Sequence training of multiple deep neural networks for better performance and faster training speed. ICASSP 2014: 5627-5631 - [c60]Shaofei Xue, Ossama Abdel-Hamid, Hui Jiang, Li-Rong Dai:
Direct adaptation of hybrid DNN/HMM model for fast speaker adaptation in LVCSR based on speaker code. ICASSP 2014: 6339-6343 - [c59]Shiliang Zhang, Yebo Bao, Pan Zhou, Hui Jiang, Li-Rong Dai:
Improving deep neural networks for LVCSR using dropout and shrinking structure. ICASSP 2014: 6849-6853 - [c58]Shaofei Xue, Hui Jiang, Li-Rong Dai:
Speaker adaptation of hybrid NN/HMM model for speech recognition based on singular value decomposition. ISCSLP 2014: 1-5 - [c57]Changqing Kong, Shaofei Xue, Jianqing Gao, Wu Guo, Li-Rong Dai, Hui Jiang:
Speaker adaptive bottleneck features extraction for LVCSR based on discriminative learning of speaker codes. ISCSLP 2014: 83-87 - 2013
- [c56]Pan Zhou, Cong Liu, Qingfeng Liu, Li-Rong Dai, Hui Jiang:
A cluster-based multiple deep neural networks method for large vocabulary continuous speech recognition. ICASSP 2013: 6650-6654 - [c55]Yebo Bao, Hui Jiang, Li-Rong Dai, Cong Liu:
Incoherent training of deep neural networks to de-correlate bottleneck features for speech recognition. ICASSP 2013: 6980-6984 - [c54]Ossama Abdel-Hamid, Hui Jiang:
Fast speaker adaptation of hybrid NN/HMM model for speech recognition based on discriminative learning of speaker code. ICASSP 2013: 7942-7946 - [c53]Ossama Abdel-Hamid, Hui Jiang:
Rapid and effective speaker adaptation of convolutional neural network based models for speech recognition. INTERSPEECH 2013: 1248-1252 - [c52]Ossama Abdel-Hamid, Li Deng, Dong Yu, Hui Jiang:
Deep segmental neural networks for speech recognition. INTERSPEECH 2013: 1849-1853 - 2012
- [j22]Pingzhao Hu, Shelley B. Bull, Hui Jiang:
Gene network modular-based classification of microarray samples. BMC Bioinform. 13(S-10): S17 (2012) - [c51]Ossama Abdel-Hamid, Abdel-rahman Mohamed, Hui Jiang, Gerald Penn:
Applying Convolutional Neural Networks concepts to hybrid NN-HMM model for speech recognition. ICASSP 2012: 4277-4280 - [c50]Jia Pan, Cong Liu, Zhiguo Wang, Yu Hu, Hui Jiang:
Investigation of deep neural networks (DNN) for large vocabulary continuous speech recognition: Why DNN surpasses GMMS in acoustic modeling. ISCSLP 2012: 301-305 - 2011
- [j21]Dalei Wu, Yan Yin, Hui Jiang:
Large-Margin Estimation of Hidden Markov Models With Second-Order Cone Programming for Speech Recognition. IEEE Trans. Speech Audio Process. 19(6): 1652-1664 (2011) - [j20]Jun Du, Yu Hu, Hui Jiang:
Boosted Mixture Learning of Gaussian Mixture Hidden Markov Models Based on Maximum Likelihood for Speech Recognition. IEEE Trans. Speech Audio Process. 19(7): 2091-2100 (2011) - [j19]Cong Liu, Yu Hu, Li-Rong Dai, Hui Jiang:
Trust Region-Based Optimization for Maximum Mutual Information Estimation of HMMs in Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 19(8): 2474-2485 (2011) - [c49]Pourya S. Jafari, Hou-Yong Kang, Xiaosong Wang, Qian-Jie Fu, Hui Jiang:
Phase-sensitive speech enhancement for cochlear implant processing. ICASSP 2011: 5104-5107 - [c48]Pingzhao Hu, Shelley B. Bull, Hui Jiang:
Gene Network Modules-Based Liner Discriminant Analysis of Microarray Gene Expression Data. ISBRA 2011: 286-296 - 2010
- [j18]Pingzhao Hu, Hui Jiang, Andrew Emili:
Predicting protein functions by relaxation labelling protein interaction network. BMC Bioinform. 11(S-1): 64 (2010) - [j17]Hui Jiang:
Discriminative training of HMMs for automatic speech recognition: A survey. Comput. Speech Lang. 24(4): 589-608 (2010) - [j16]Hui Jiang, Xinwei Li:
Parameter Estimation of Statistical Models Using Convex Optimization. IEEE Signal Process. Mag. 27(3): 115-127 (2010) - [c47]Baojie Li, Dalei Wu, Hui Jiang:
Model-mapping based Voice Conversion System - A Novel Approach to Improve Voice Similarity and Naturalness using Model-based Speech Synthesis Techniques. BIOSIGNALS 2010: 442-446 - [c46]Cong Liu, Yu Hu, Hui Jiang, Li-Rong Dai:
A bounded trust region optimization for discriminative training of HMMS in speech recognition. ICASSP 2010: 4914-4917 - [c45]Vladimir Magdin, Hui Jiang:
Large margin estimation of n-gram language models for speech recognition via linear programming. ICASSP 2010: 5398-5401 - [c44]Jun Du, Yu Hu, Hui Jiang:
Boosted mixture learning of Gaussian mixture HMMs for speech recognition. INTERSPEECH 2010: 2942-2945
2000 – 2009
- 2009
- [c43]Vladimir Magdin, Hui Jiang:
Discriminative training of n-gram language models for speech recognition via linear programming. ASRU 2009: 305-310 - [c42]Zhi-Jie Yan, Cong Liu, Yu Hu, Hui Jiang:
A trust region based optimization for maximum mutual information estimation of HMMS in speech recognition. ICASSP 2009: 3757-3760 - [c41]Junfeng Li, Qian-Jie Fu, Hui Jiang, Masato Akagi:
Psychoacoustically-motivated adaptive beta-order generalized spectral subtraction for cochlear implant patients. ICASSP 2009: 4665-4668 - [c40]Dalei Wu, Baojie Li, Hui Jiang:
Maximum mutual information estimation via second order cone programming for large vocabulary continuous speech recognition. INTERSPEECH 2009: 672-675 - [c39]Dalei Wu, Baojie Li, Hui Jiang, Qian-Jie Fu:
Online model adaptation for voice conversion using model-based speech synthesis techniques. INTERSPEECH 2009: 1643-1646 - [c38]Yan Yin, Hui Jiang:
Second Order Cone Programming (SOCP) Relaxations for Large Margin HMMs in Speech Recognition. ISCAS 2009: 105-108 - 2008
- [j15]Peng Liu, Cong Liu, Hui Jiang, Frank K. Soong, Ren-Hua Wang:
A Constrained Line Search Optimization Method for Discriminative Training of HMMs. IEEE Trans. Speech Audio Process. 16(5): 900-909 (2008) - [c37]Junfeng Li, Hui Jiang, Masato Akagi:
Psychoacoustically-motivated adaptive β-order generalized spectral subtraction based on data-driven optimization. INTERSPEECH 2008: 171-174 - [c36]Zhen-Yu Pan, Hui Jiang:
Large margin multinomial mixture model for text categorization. INTERSPEECH 2008: 1566-1569 - [e1]Helen M. Meng, Hui Jiang, Jianhua Tao, Ren-Hua Wang:
6th International Symposium on Chinese Spoken Language Processing, ISCSLP 2008, 16-19 December, 2008, Kunming, China. IEEE 2008, ISBN 978-1-4244-2942-4 [contents] - 2007
- [j14]Guangji Shi, Parham Aarabi, Hui Jiang:
Phase-Based Dual-Microphone Speech Enhancement Using A Prior Speech Model. IEEE Trans. Speech Audio Process. 15(1): 109-118 (2007) - [j13]Xinwei Li, Hui Jiang:
Solving Large-Margin Hidden Markov Model Estimation via Semidefinite Programming. IEEE Trans. Speech Audio Process. 15(8): 2383-2392 (2007) - [j12]Mohamed Afify, Xinwei Li, Hui Jiang:
Statistical Analysis of Minimum Classification Error Learning for Gaussian and Hidden Markov Model Classifiers. IEEE Trans. Speech Audio Process. 15(8): 2405-2417 (2007) - [c35]Peng Liu, Cong Liu, Hui Jiang, Frank K. Soong, Ren-Hua Wang:
A constrained line search approach to general discriminative HMM training. ASRU 2007: 290-295 - [c34]Yan Yin, Hui Jiang:
A compact semidefinite programming (SDP) formulation for large margin estimation of HMMS in speech recognition. ASRU 2007: 312-317 - [c33]Cong Liu, Peng Liu, Hui Jiang, Frank K. Soong, Ren-Hua Wang:
A Constrained Line Search Optimization for Discriminative Training in Speech Recognition. ICASSP (4) 2007: 329-332 - [c32]Hui Jiang, Xinwei Li:
Incorporating Training Errors for Large Margin HMMS Under Semi-Definite Programming Framework. ICASSP (4) 2007: 629-632 - [c31]Jun Du, Peng Liu, Hui Jiang, Frank K. Soong, Ren-Hua Wang:
A New Minimum Divergence Approach to Discriminative Training. ICASSP (4) 2007: 677-680 - [c30]Yan Yin, Hui Jiang:
A fast optimization method for large margin estimation of HMMs based on second order cone programming. INTERSPEECH 2007: 34-37 - 2006
- [j11]Hui Jiang, Xinwei Li, Chaojun Liu:
Large margin hidden Markov models for speech recognition. IEEE Trans. Speech Audio Process. 14(5): 1584-1595 (2006) - [j10]Ye Tian, Jian-Lai Zhou, Hui Lin, Hui Jiang:
Tree-Based Covariance Modeling of Hidden Markov Models. IEEE Trans. Speech Audio Process. 14(6): 2134-2146 (2006) - [c29]Chaojun Liu, Hui Jiang, Luca Rigazio:
Recent Improvement on Maximum Relative Margin Estimation of HMMS for Speech Recognition. ICASSP (1) 2006: 269-272 - [c28]Xinwei Li, Hui Jiang:
Solving large margin estimation of HMMS via semidefinite programming. INTERSPEECH 2006 - 2005
- [j9]Hui Jiang:
Confidence measures for speech recognition: A survey. Speech Commun. 45(4): 455-470 (2005) - [j8]Mohamed Afify, Feng Liu, Hui Jiang, Olivier Siohan:
A new verification-based fast-match for large vocabulary continuous speech recognition. IEEE Trans. Speech Audio Process. 13(4): 546-553 (2005) - [j7]Hui Jiang, Frank K. Soong, Chin-Hui Lee:
A Dynamic In-Search Data Selection Method With Its Applications to Acoustic Modeling and Utterance Verification. IEEE Trans. Speech Audio Process. 13(5-2): 945-955 (2005) - [c27]Chaojun Liu, Hui Jiang, Xinwei Li:
Discriminative Training of CDHMMs for Maximum Relative Separation Margin. ICASSP (1) 2005: 101-104 - [c26]Mohamed Afify, Xinwei Li, Hui Jiang:
Statistical Performance Analysis of MCE/GPD Learning in Gaussian Classifiers and Hidden Markov Models. ICASSP (1) 2005: 105-108 - [c25]Bo Liu, Hui Jiang, Jian-Lai Zhou, Ren-Hua Wang:
Discriminative Training Based on the Criterion of Least Phone Competing Tokens for Large Vocabulary Speech Recognition. ICASSP (1) 2005: 117-120 - [c24]Xinwei Li, Hui Jiang, Chaojun Liu:
Large margin HMMs for speech recognition. ICASSP (5) 2005: 513-516 - [c23]Hui Lin, Ye Tian, Jian-Lai Zhou, Hui Jiang:
Hierarchical Correlation Compensation For Hidden Markov Models. ICASSP (1) 2005: 673-676 - [c22]Hui Jiang, Qian-Jie Fu:
Statistical noise compensation for cochlear implant processing. INTERSPEECH 2005: 2085-2088 - [c21]Imed Zitouni, Hui Jiang, Qiru Zhou:
Discriminative training and support vector machine for natural language call routing. INTERSPEECH 2005: 3437-3440 - 2004
- [c20]Imed Zitouni, Minkyu Lee, Hui Jiang:
Constrained minimization technique for topic identification using discriminative training and support vector machines. INTERSPEECH 2004: 181-184 - [c19]Hui Jiang, Pengfei Liu, Imed Zitouni:
Discriminative training of naive Bayes classifiers for natural language call routing. INTERSPEECH 2004: 1589-1592 - [c18]Gang Guo, Chao Huang, Hui Jiang, Ren-Hua Wang:
A comparative study on various confidence measures in large vocabulary speech recognition. ISCSLP 2004: 9-12 - 2003
- [j6]Hui Jiang, Chin-Hui Lee:
A new approach to utterance verification based on neighborhood information in model space. IEEE Trans. Speech Audio Process. 11(5): 425-434 (2003) - 2002
- [j5]Hui Jiang, Li Deng:
A robust compensation strategy for extraneous acoustic variations in spontaneous speech recognition. IEEE Trans. Speech Audio Process. 10(1): 9-17 (2002) - [c17]Hui Jiang, Olivier Siohan, Frank K. Soong, Chin-Hui Lee:
A dynamic in-search discriminative training approach for large vocabulary speech recognition. ICASSP 2002: 113-116 - [c16]